Cognitive Architecture
Cognitive architecture research aims to understand and replicate the structure and function of human cognition through computational models. Current research heavily focuses on integrating large language models (LLMs) with established cognitive architectures like ACT-R, leveraging LLMs' vast knowledge while addressing their limitations through structured reasoning and memory mechanisms. This interdisciplinary field is significant for advancing artificial general intelligence (AGI) by bridging the gap between human-like reasoning and the capabilities of powerful machine learning models, with implications for robotics, decision-making systems, and a deeper understanding of the human mind itself.
Papers
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